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https://github.com/gunapalanivel/greenlexicon
GreenLexicon is a multi-faceted platform designed to promote sustainability and environmental awareness. It leverages the power of data analytics, natural language processing, and computer vision to empower users with actionable insights for making eco-friendly decisions.
https://github.com/gunapalanivel/greenlexicon
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GreenLexicon is a multi-faceted platform designed to promote sustainability and environmental awareness. It leverages the power of data analytics, natural language processing, and computer vision to empower users with actionable insights for making eco-friendly decisions.
- Host: GitHub
- URL: https://github.com/gunapalanivel/greenlexicon
- Owner: GunaPalanivel
- License: mit
- Created: 2024-04-13T17:02:51.000Z (8 months ago)
- Default Branch: main
- Last Pushed: 2024-04-13T19:36:36.000Z (8 months ago)
- Last Synced: 2024-04-14T07:58:47.221Z (8 months ago)
- Language: HTML
- Homepage: https://green-lexicon.vercel.app
- Size: 16.2 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# GreenLexicon
## Introduction
GreenLexicon is a comprehensive platform designed to promote sustainability and environmental awareness. It leverages advanced data analytics, natural language processing (NLP), and computer vision technologies to empower users with actionable insights and tools for making eco-friendly decisions.
## [Power Point Presentation](https://docs.google.com/presentation/d/1D0pjO6HqTgpijJablJLPavPj83ef0WSP/edit?usp=sharing&ouid=115204430181103761560&rtpof=true&sd=true)
## Recognization and Awards
My team, Mavericks, consisting of myself, [Guna Palanivel](https://www.linkedin.com/in/guna-palanivel/), along with my teammates [Gokul Selvaraj](https://www.linkedin.com/in/gokulselvaraj4/), [Rakshitha S](https://www.linkedin.com/in/rakshitha-selladurai/), and [Bharani V](https://www.linkedin.com/in/bharani-v-20720b276/) participated in the SustainaVerse: Coding a Sustainable Universe held at [B. S. Abdur Rahman Crescent Institute of Science and Technology, Chennai, Tamil Nadu](https://crescent.education/), Chennai on 16/04/2024 to 17/04/2024. And guess what? We clinched the 1st prize, along with a cool cash prize of INR 5000 Via cheque, presented by Dr. Karthikeyan Ramalingam, Dean of Student Affairs.
## To Know More About Our Project
Please find the LinkedIn post [here.](https://www.linkedin.com/posts/guna-palanivel_sustainability-greentech-dataanalytics-activity-7197289980191285249-uGzt?utm_source=share&utm_medium=member_desktop)
## Key Features
1. **[Energy Consumption Analysis (Data Analytics):](https://github.com/GunaPalanivel/energyanalyzer.git)**
- Provides users with a personalized dashboard to identify energy consumption patterns, pinpoint inefficiencies, and encourage energy-saving habits.
2. **[Amazon Product Sustainability Score (NLP+LLM, BERT Model):](https://github.com/GunaPalanivel/sustainablescore.git)**
- An AI-driven scoring system that analyzes product descriptions to calculate a sustainability score, utilizing state-of-the-art NLP techniques and the BERT language model.
3. **[Lexicon AI Using Gemini API:](https://github.com/GunaPalanivel/Lexicon-AI.git)**
- Experience the simplicity of Lexicon AI, a minimalistic web interface designed to enhance your communication needs.
4. **[Brand Sustainability Profiles (LLM, Web Scraping):](https://github.com/GunaPalanivel/sustainablebrands.git)**
- Compiles data on corporate sustainability practices through advanced Large Language Model (LLM) capabilities and web scraping, offering concise brand sustainability profiles.
5. **[Green Lexicon AI Chatbot:](https://github.com/GunaPalanivel/GreenLexicon-Chat-Bot.git)**
- A seamless experience as you explore answers to all your questions about sustainability and environmental consciousness
6. **[Waste Classification Guide (Computer Vision, CNN, TensorflowJs):](https://github.com/GunaPalanivel/gitpod.git)**
- A user-friendly guide that incorporates a custom-trained Convolutional Neural Network (CNN) to identify and sort waste, promoting correct disposal procedures and environmental conservation.
## Tech Stack
- Front-end: HTML5, CSS3, JavaScript
- Back-end: Python, Streamlit
- Data Analytics: Pandas, NumPy, Matplotlib
- NLP and LLM: BERT, Gemini
- Computer Vision: TensorFlow.js, Convolutional Neural Networks (CNN)
## Quick Links
- [Live Website](https://green-lexicon.vercel.app/)
- [Main GitHub Repository](https://github.com/GunaPalanivel/GreenLexicon.git)
- [Image Detection Custom Model (Google Colab)]()
- [NLP Sustainability Model (BERT) Google Colab]()
- [Project Image Gallery](https://green-lexicon-image-gallery.vercel.app/)
## Usage
1. Clone the repository:
```shell
https://github.com/GunaPalanivel/GreenLexicon.git
```
```shell
cd GreenLexicon
```
2. Install dependencies:
```bash
pip install -r requirements.txt
```
3. Run the Streamlit app:
```bash
streamlit run Hello.py
```
4. Refer to the Google Colab notebooks for the custom CNN implementation and the NLP BERT model usage.
## How to Contribute
Contributions are welcome! If you would like to contribute to this project, please follow these steps:
1. Fork the repository.
2. Create a new branch: `git checkout -b feature/new-feature`.
3. Make your changes and commit them: `git commit -m 'Add new feature'`.
4. Push to the branch: `git push origin feature/new-feature`.
5. Submit a pull request.
## License
This project is licensed under the MIT License. See the [LICENSE](https://github.com/GunaPalanivel/GreenLexicon/blob/main/LICENSE) file for more details.